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What is NOFire AI?

NOFire AI prevents change-driven incidents before they reach production and resolves the ones that do happen in minutes, with high accuracy. One system that connects changes, services, behavior, and outcomes. Unlike observability platforms that show what happened, or AIOps tools that correlate after failures, NOFire understands how your services actually connect and why things break.

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The Problem

Every engineering team faces these reliability challenges: Root cause depends on who’s on call. Senior SREs have the context. Junior engineers spend hours hunting across dashboards. MTTR varies by 10x based on who responds. You find out deployments were risky after they break production. No way to assess impact before merging. Rollbacks, hotfixes, and customer escalations follow. Post-incident analysis takes hours. Correlating logs, metrics, traces, and changes across tools. Documenting what happened feels like forensic reconstruction. Same failures repeat. Knowledge lives in people’s heads or stale runbooks. When key engineers leave or are unavailable, incidents take longer and teams make the same mistakes.

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About NOFire AI

NOFire AI solves these problems by understanding not just what’s happening, but why, based on real service relationships in your infrastructure.

Prevent

See what a change will break before it reaches production. Maps blast radius, flags risk, and recommends the right deployment strategy.

Resolve

Find root cause with high accuracy, in minutes. Tests multiple hypotheses against real evidence from your infrastructure, code, and telemetry.

Learn

Every investigation, every interaction, every resolved incident feeds back into the system. Future answers get better without anyone writing a runbook.

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How NOFire AI Works

At the core of NOFire AI is the Production Context Graph: a time-versioned map of your services, dependencies, changes, and how they affect each other — reconstructable at any point in time, so investigations always reflect the actual state when an incident happened.

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The Foundation: NOFire AI Edge

NOFire AI Edge is a lightweight Kubernetes agent that starts the graph. It watches your clusters, discovers service relationships through DNS traffic, and tracks every deployment, scaling event, and config change.

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The Graph Grows With Every Integration

The Production Context Graph starts with Kubernetes, but it gets richer as you connect more sources: Each integration enriches the graph with more context, more change history, and more signals. The more you connect, the more accurate prevention and root cause analysis become.

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How NOFire Uses the Graph

When an incident happens, NOFire traces through actual dependency chains in the graph to find root causes, not just correlations. For deployments, it analyzes the blast radius based on how services connect. Every answer is grounded in the Production Context Graph and your connected observability tools. You interact with NOFire in plain language, in your IDE, Slack, or web dashboard.

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Gets Better With Every Interaction

NOFire doesn’t start from scratch each time. It accumulates operational knowledge from everything that happens in your environment:
  • Investigations: every root cause analysis builds a record of what broke, why, and what fixed it. The next time a similar pattern appears, NOFire has that context.
  • Change history: which deployments caused problems, which services are fragile after changes, which code paths are incident hotspots.
  • Conversations: questions your team asks, follow-ups during incidents, and the reasoning paths that led to answers.
This means a new team member asking “why is checkout slow?” gets the same quality answer a senior SRE would — the system has already seen the pattern and knows the dependency chain.
NOFire AI Explore view showing the Production Context Graph with the cart service at center, connected to checkout, frontend, valkey-cart, otel-collector, and flagd services, with change events below

The Production Context Graph in the NOFire AI Explore view — live service dependencies, pod-level detail, and recent change events.

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Key Capabilities

Deployment Risk Assessment

See which services your changes affect and get a risk score before deployment. Clear deployment strategy recommendations.

Root Cause Analysis

Trace incidents to actual root causes through real service relationships. Understand what broke and why within minutes.

Alert Triage

When an alert fires, NOFire investigates autonomously and posts findings with a confidence score. Between incidents, audit and clean up your alert rules.

Service Health

Ask how a service is doing and get a live metrics view with health status, directly in chat.

Dependency Mapping

Automatic discovery of service dependencies from your Kubernetes infrastructure. Always up-to-date, no manual configuration.

Change Tracking

Track infrastructure and application changes over time. Correlate incidents with deployments, config changes, and infrastructure updates.

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How to Use NOFire AI

NOFire AI integrates directly into your workflow:

NOFire AI Edge (Foundation)

The Kubernetes agent that powers everythingDeploy NOFire AI Edge in your Kubernetes clusters to build the Production Context Graph. This is the foundation that enables:
  • Root cause analysis through real service relationships
  • Deployment risk assessment before you merge
  • Automatic dependency discovery
  • Change tracking and correlation
Setup: Generate token → Install Helm chart → Verify connectionLearn more about NOFire AI Edge →
Connect NOFire AI to your IDE via Model Context Protocol (MCP). Get deployment risk analysis and query production directly in Cursor, Claude Desktop, or any MCP-compatible tool.Best for:
  • Pre-deployment risk assessment while coding
  • Production operational queries during development
  • Incident investigation from your IDE
Learn more about MCP integration →
Embed NOFire AI in Slack for collaborative incident response. Mention @NOFireAI bot to investigate alerts, query production, and get team-wide visibility.Best for:
  • Team collaboration during incidents
  • Alert triage and analysis
  • Operational knowledge sharing
Full-featured dashboard for incident investigations, deployment analysis, session history, and configuration management.Best for:
  • Detailed incident investigations
  • Configuration and integration setup
  • Historical analysis and reporting
Connect your existing observability tools (Grafana, Prometheus, Loki, Tempo, Datadog) to enrich investigations with telemetry data.Setup: Provide API tokens and data source URLs. Read-only access required.Note: NOFire AI Edge is recommended for full Production Context Graph capabilities. Observability integrations alone provide telemetry access but not dependency mapping.

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Contact Us

Need help setting up NOFire for your team? Contact us at [email protected].